Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry

Andy S. Anker, Keith T. Butler, Raghavendra Selvan, Kirsten M. Ø. Jensen

Open source

DOI: 10.1039/d3sc05081e
Published: 2023
Container: Chemical Science
Publisher: Royal Society of Chemistry (RSC)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1039/d3sc05081e,
  title = {Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry},
  author = {Andy S. Anker and Keith T. Butler and Raghavendra Selvan and Kirsten M. Ø. Jensen},
  year = {2023},
  journal = {Chemical Science},
  doi = {10.1039/d3sc05081e},
  url = {https://doi.org/10.1039/d3sc05081e}
}

RIS

TY  - JOUR
TI  - Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry
AU  - Andy S. Anker
AU  - Keith T. Butler
AU  - Raghavendra Selvan
AU  - Kirsten M. Ø. Jensen
PY  - 2023
JO  - Chemical Science
DO  - 10.1039/d3sc05081e
UR  - https://doi.org/10.1039/d3sc05081e
ER  -

APA

Anker, A. S., Butler, K. T., Selvan, R., & Jensen, K. M. Ø. (2023). Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry. Chemical Science. https://doi.org/10.1039/d3sc05081e

Source records

crossref · retrieved 2026-09-25T05:15:04.144Z